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ITNG
2006
IEEE
14 years 4 months ago
A Study of Self-Organizing Map in Interactive Relevance Feedback
With the vast amount of potential relevant documents on the Web, a key question for a retrieval system is how to achieve a high accuracy retrieval under current Web setting. The w...
Daqing He
ACSC
2005
IEEE
14 years 3 months ago
The Geodesic Self-Organizing Map and Its Error Analysis
The Self-Organizing Map (SOM) is one of the popular Artificial Neural Networks which is a useful in clustering and visualizing complex high dimensional data. Conventional SOMs are...
Yingxin Wu, Masahiro Takatsuka
CIVR
2004
Springer
118views Image Analysis» more  CIVR 2004»
14 years 3 months ago
Use of Image Subset Features in Image Retrieval with Self-Organizing Maps
In content-based image retrieval (CBIR), the images in a database are indexed on the basis of low-level statistical features that can be automatically derived from the images. Due ...
Markus Koskela, Jorma Laaksonen, Erkki Oja
ICANN
2009
Springer
14 years 2 months ago
A Two Stage Clustering Method Combining Self-Organizing Maps and Ant K-Means
This paper proposes a clustering method SOMAK, which is composed by Self-Organizing Maps (SOM) followed by the Ant K-means (AK) algorithm. The aim of this method is not to find an...
Jefferson R. Souza, Teresa Bernarda Ludermir, Lean...
BILDMED
2009
230views Algorithms» more  BILDMED 2009»
13 years 11 months ago
Analysis of 2D Phase Contrast MRI in Renal Arteries by Self Organizing Maps
We present an approach based on self organizing maps to segment renal arteries from 2D PC Cine MR images to measure blood velocity and flow. Such information are important in gradi...
Frank Zöllner, Lothar R. Schad